Chong Wang

Affiliations

The University of Adelaide

papers

388

total citations

papers (12)

ShadowDiffusion: When Degradation Prior Meets Diffusion Model for Shadow Removal

CVPR 2023arXiv

150

citations

Progressive Divide-and-Conquer via Subsampling Decomposition for Accelerated MRI

CVPR 2024arXiv

citations

UCF-Crime-DVS: A Novel Event-Based Dataset for Video Anomaly Detection with Spiking Neural Networks

AAAI 2025arXiv

citations

Step-by-Step Reasoning for Math Problems via Twisted Sequential Monte Carlo

ICLR 2025arXiv

citations

Reconciling Stochastic and Deterministic Strategies for Zero-shot Image Restoration using Diffusion Model in Dual

CVPR 2025arXiv

citations

Differential Private Stochastic Optimization with Heavy-tailed Data: Towards Optimal Rates

AAAI 2025arXiv

citations

Boundary-Aware Divide and Conquer: A Diffusion-Based Solution for Unsupervised Shadow Removal

ICCV 2023

citations

Chong Wang

Affiliations

papers (12)

ShadowDiffusion: When Degradation Prior Meets Diffusion Model for Shadow Removal

Large Multilingual Models Pivot Zero-Shot Multimodal Learning across Languages

Learning Support and Trivial Prototypes for Interpretable Image Classification

Unraveling Instance Associations: A Closer Look for Audio-Visual Segmentation

Nonuniform Negative Sampling and Log Odds Correction with Rare Events Data

BoMD: Bag of Multi-label Descriptors for Noisy Chest X-ray Classification

Progressive Divide-and-Conquer via Subsampling Decomposition for Accelerated MRI

UCF-Crime-DVS: A Novel Event-Based Dataset for Video Anomaly Detection with Spiking Neural Networks

Step-by-Step Reasoning for Math Problems via Twisted Sequential Monte Carlo

Reconciling Stochastic and Deterministic Strategies for Zero-shot Image Restoration using Diffusion Model in Dual

Differential Private Stochastic Optimization with Heavy-tailed Data: Towards Optimal Rates

Boundary-Aware Divide and Conquer: A Diffusion-Based Solution for Unsupervised Shadow Removal

papers (12)

ShadowDiffusion: When Degradation Prior Meets Diffusion Model for Shadow Removal

Large Multilingual Models Pivot Zero-Shot Multimodal Learning across Languages

Learning Support and Trivial Prototypes for Interpretable Image Classification

Unraveling Instance Associations: A Closer Look for Audio-Visual Segmentation

Nonuniform Negative Sampling and Log Odds Correction with Rare Events Data

BoMD: Bag of Multi-label Descriptors for Noisy Chest X-ray Classification

Progressive Divide-and-Conquer via Subsampling Decomposition for Accelerated MRI

UCF-Crime-DVS: A Novel Event-Based Dataset for Video Anomaly Detection with Spiking Neural Networks

Step-by-Step Reasoning for Math Problems via Twisted Sequential Monte Carlo

Reconciling Stochastic and Deterministic Strategies for Zero-shot Image Restoration using Diffusion Model in Dual

Differential Private Stochastic Optimization with Heavy-tailed Data: Towards Optimal Rates

Boundary-Aware Divide and Conquer: A Diffusion-Based Solution for Unsupervised Shadow Removal